An interpretable framework for identifying cerebral microbleeds and Alzheimer’s disease severity using multimodal data

Md Sarwar Kamal, Linkon Chowdhury, Sonia Farhana Nimmy, Taki Hasan Rafi, Dong-Kyu Chae

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)

Abstract

Cerebral microbleeds (CMBs) are tiny chronic brain haemorrhages that have been recognised as prognostic indicators for a number of acute cerebrovascular disorders, such as stroke, traumatic disorder, and Alzheimer’s disease. For early-stage chronic disease diagnosis, it is challenging to automate the detection of CMBs and increase the reliability of prediction outputs. This study developed a system for identifying microbleeds in MRI images and gene expression data and determining the severity of Alzheimer’s disease (AD). Initially, a spike neural network (SNN) and decision tree were utilised to identify microbleeds in AD from MRI images and gene expression respectively. However, the conclusions of these two methods cannot be interpreted due to the complexity of their internal processing steps. This study proposed two explainable artificial intelligence (XAI) methods for interpreting prediction outputs in an effort to boost reliability. Pixel density analysis (PDA) and probabilistic graphical model (PGM) explain the decision-making processes for MRI images and gene expression data for the diagnosis of microbleeds and the severity analysis of AD.
Original languageEnglish
Title of host publication2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)
Subtitle of host publicationProceedings
PublisherIEEE
Number of pages4
ISBN (Electronic)9798350324471
ISBN (Print)9798350324488 (Print on demand)
DOIs
Publication statusPublished - Jul 2023
Event45th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society - International Convention Centre, Sydney, Australia
Duration: 24 Jul 202327 Jul 2023
https://embc.embs.org/2023/
https://ieeexplore-ieee-org.ezproxy.csu.edu.au/xpl/conhome/10339936/proceeding (Proceedings)
https://embc23-c10000.eorganiser.com.au/index.php?r=programWebService/newIndex#!/event (Program)

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ISSN (Print)2375-7477

Conference

Conference45th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society
Abbreviated titleEngineering better and more resilient healthcare for all
Country/TerritoryAustralia
CitySydney
Period24/07/2327/07/23
Internet address

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